This project implements real-time crowd detection using YOLOv8. It identifies and tracks people in a video feed, detects crowd formation based on proximity, and logs the results in a CSV file.
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Updated
Mar 23, 2025 - Python
This project implements real-time crowd detection using YOLOv8. It identifies and tracks people in a video feed, detects crowd formation based on proximity, and logs the results in a CSV file.
An advanced platform that combines satellite computer vision, mobile network analytics, and machine learning to provide real-time and predictive crowd density analysis for tourism destinations.
Crowd detection system for YIC 2023
Final Project for [CS-1390] IML 👀
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